
Advanced Generative AI Pipeline Architect
1 day ago
Transformative Generative AI Solutions Engineer
About the RoleWe're seeking a seasoned engineer to spearhead our next-generation generative AI initiatives.
The ideal candidate will drive development and deployment of cutting-edge machine learning pipelines, implementing compression algorithms and productionizing research for challenging business problems.
- Develop Innovative Models: Utilize techniques like RAG, transformers, and other relevant approaches to create game-changing solutions.
- Fine-tune Pre-trained LLMs: Tailor pre-trained models for specific tasks and domains, pushing the boundaries of generative AI.
- Conduct Research: Stay up-to-date on the latest advancements in generative AI research, exploring new techniques for improving performance and capabilities.
- Apply Engineering Rigor: Ensure machine learning/generative AI pipelines adhere to best practices, guaranteeing robustness and scalability.
- Evaluate and Analyze Performance: Critically assess the efficacy of ML/generative AI models, identifying areas for improvement.
Requirements and Qualifications
- Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- At least 5 years of experience in generative AI or related fields.
- Experience with building data pipelines, deploying ML/GenAI models in production, and monitoring their performance.
- Strong programming skills in Python.
- Familiarity with RAG and other techniques for building generative models.
- Proficiency in Git, Docker, and Linux for managing servers.
- Experience with cloud-based ecosystems, especially AWS ML/GenAI services.
- Exposure to ML/GenAI frameworks and tools.
- Excellent communication and collaboration skills.
- Ability to work independently and in a team-oriented environment.
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